For example, you could examine a dataset of credit card transactions to find anomalous items that might indicate a fraudulent transaction. This article explains how to use a PyTorch neural autoencoder ...
Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...
This repository trains a convolutional autoencoder on bird's-eye-view (BEV) LiDAR projections from KITTI Raw Velodyne scans. The immediate task is sparse BEV reconstruction. The research goal is to ...
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